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Event extraction from classical Arabic texts
Joint Authors
Baradaran, Radiah
Bidgoli, Behrouz Minaei
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 5 (30 Sep. 2015)10 p.
Publisher
Publication Date
2015-09-30
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Event extraction is one of the most useful and challenging information extraction tasks that can be used in many natural language processing applications in particular semantic search systems.
Most of the developed systems in this field extract events from English texts; therefore, in many other languages in particular Arabic there is a need for research in this area.
In this paper we develop a system for extracting person related events and their participants from classical Arabic texts with complex linguistic structure.
The first and most effective step to extract event is the correct diagnosis of the event mention and determining sentences which describe events.
Implementation and comparing performance and the use of various methods can help researchers to choose appropriate method for event extraction based on their conditions and limitations.
In this research, we have implemented three methods including knowledge-oriented method (based on a set of keywords and rules), data-oriented method (based on support vector machine) and semantic-oriented method (based on lexical chain) to automatically classify sentences as on-event or off-eventones.
The results indicate that knowledge oriented and machine learning methods have high precision and recall in event extraction process.
The semantic oriented method with acceptable precision minimizes the linguistic knowledge requirements of knowledge oriented method and preprocessing requirements of data oriented method; and also improves automatic event extraction process from the raw text.
Next step is developing a modular rule based approach for extracting event arguments such as time, place and other participants involved in independent subtasks.
American Psychological Association (APA)
Baradaran, Radiah& Bidgoli, Behrouz Minaei. 2015. Event extraction from classical Arabic texts. The International Arab Journal of Information Technology،Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430982
Modern Language Association (MLA)
Baradaran, Radiah& Bidgoli, Behrouz Minaei. Event extraction from classical Arabic texts. The International Arab Journal of Information Technology Vol. 12, no. 5 (Sep. 2015).
https://search.emarefa.net/detail/BIM-430982
American Medical Association (AMA)
Baradaran, Radiah& Bidgoli, Behrouz Minaei. Event extraction from classical Arabic texts. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430982
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-430982